Mobileye Vision Technologies Ltd.

Orcam Technologies Ltd.

Mobileye Technologies Limited

Yissum Research Development Company of the Hebrew University of Jerusalem Ltd.

Cognitens Ltd.

Other

Amnon Shashua

Yonatan Wexler

Shai Shalev-Shwartz

Shaked Shammah

Gideon Stein

Yoram Gdalyahu

Daniel Braunstein

Ofer Springer

Aran Reisman

Erez Dagan

Yoav Taieb

Ofer Mano

Tal Rosenwein

Barak Cohen

Zeev Adelman

Eyal Bagon

Gaby Hayon

Efim Belman

Anna Clarke

Roi Nathan

Oren Tadmor

Oded Berberian

Itai Ben Shalom

David Huberman

Tomer Baba

Yossi Hollander

Yoni Myers

Yossi Hadad

Harel Livyatan

Tamir Shalom

Dan Albeck

Meny Benady

Levi Bellaiche

Ilan Zelnik

Arie Rudich

Eyal Yosef

Ronen Katsir

Dave Bortz

Erez Na'aman

Ori Buberman

Igor Tubis

Yahel Guberman

Harel Liyatan

Shai Avidan

Gideon P Stein

Yair Deitcher

Nir Sancho

Roy Weiss

Tai Rosenwein

Doron Weizman

Yonaton Wexler

Erez Na'Aman

Shai Shalev-Schwarz

An autonomous system may selectively displace human driver control of a host vehicle. The system may receive an image representative of an environment of the host vehicle and detect an obstacle in the environment of the host vehicle based on analysis of the image. The system may monitor a driver input to a throttle, brake, and/or steering control associated with the host vehicle. The system may determine whether the driver input would result in the host vehicle navigating within a proximity buffer relative to the obstacle. If the driver input would not result in the host vehicle navigating within the proximity buffer, the system may allow the driver input to cause a corresponding change in one or more host vehicle motion control systems. If the driver input would result in the host vehicle navigating within the proximity buffer, the system may prevent the driver input from causing the corresponding change.

Systems and methods for navigating a vehicle

Systems and methods are provided for autonomous navigation based on user intervention. In one implementation, a navigation system for a vehicle may include least one processor. The at least one processor may be programmed to receive images acquired by a camera from an environment of a vehicle; determine a navigational maneuver for the vehicle based on analysis of one or more of the plurality of images; cause the vehicle to initiate the navigational maneuver; receive a user input causing an override to alter the initiated navigational maneuver; determine navigational situation information relating to the vehicle via analysis of the images; determine, based on the navigational situation information, whether the user input is associated with a transient condition; and when the user input is not associated with a transient condition, store the navigational situation information in association with information relating to the user input.

Adaptive navigation based on user intervention

The present disclosure relates to navigational systems for vehicles. In one implementation, such a navigational system may a first output from a first sensor and a second output from a mapping system; identify a target object in the first output; and determine, based on the first output, a detected driving condition associated with the target object and whether the condition triggers a navigational constraint. If the navigational constraint is triggered, the system may cause a first navigational adjustment. If the navigational constraint is not triggered, the system may determine whether a representation of the target object is included in the second output. If the representation of the target object is included in the second output, the system may cause a second navigational adjustment. If the representation of the target object is not included in the second output, the system may forego any navigational adjustments.

Systems and methods for navigating with sensing uncertainty

A system for generating processed audio signals may include an earphone comprising a microphone configured to capture sounds from an environment of the earphone, a first communication component, and a first processor; and an earphone case comprising an earphone compartment configured to receive the earphone, a second communication component, and a second processor. The first processor may be programmed to receive a captured audio signal representative of the sounds captured by the microphone; and transmit the captured audio signal via the first communication component. The second processor may be programmed to receive the captured audio signal via the second communication component; generate a processed audio signal based on analysis of the captured audio signal; and transmit the processed audio signal via the second communication component to the first communication component.

Earphone smartcase with audio processor

Systems and methods are provided for navigating a host vehicle. In one implementation, a system may include a processing device configured to receive an image acquired by an image capture device; determine a planned navigational action for accomplishing a navigational goal of the host vehicle; analyze the at least one image to identify a first target vehicle ahead of the host vehicle and a second target vehicle ahead of the first target vehicle; determine a next-state distance between the host vehicle and the second target vehicle that would result if the planned navigational action was taken; determine a stopping distance for the host vehicle based on a maximum braking capability of the host vehicle and a current speed of the host vehicle; and cause the vehicle to implement the planned navigational action if the stopping distance is less than the determined next-state distance.

Safe state to safe state navigation

A navigational system for a host vehicle may comprise at least one processor. The processor may be programmed to receive an image representative of an environment of the host vehicle; analyze the image to identify a navigational state associated with the host vehicle; and determine, based on the navigational state, a navigational action for the host vehicle based on a policy that maps possible navigational actions to sensed states. The navigational action may be based on a safety constraint applicable to the navigational state, the safety constraint including a safety distance constraint associated with the host vehicle, wherein the safety distance constraint is based on a determined speed of the host vehicle and a determined speed of a detected target object. The processor may cause an adjustment of a navigational actuator of the host vehicle to implement the determined navigational action.

Systems and methods are provided for navigating based on behaviors of following vehicles. In one implementation, a navigation system for a host vehicle may include at least one processing device. The at least one processing device may be programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a first target vehicle and a second target vehicle in the environment of the host vehicle; analyze the plurality of images to determine a distance between the first target vehicle and the second target vehicle; and determine, from the plurality of images, a time to reach a boundary associated with one of the first target vehicle and the second target vehicle, wherein the determined time exceeds a first threshold and does not exceed a second threshold.

Navigation based on bahaviors of following vehicles

Systems and methods are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image of an environment of the host vehicle; detect, based on analysis of the image, a pedestrian crosswalk in the image; detect a presence of a traffic light and determine whether the traffic light is relevant to the host vehicle and the pedestrian crosswalk; determine a state of the traffic light; determine, when a pedestrian appears in the image, a proximity of the pedestrian relative to the pedestrian crosswalk; determine a planned navigational action for navigating the host vehicle relative to the pedestrian crosswalk based on a driving policy, the state of the traffic light and the proximity of the pedestrian relative to the pedestrian crosswalk; and cause one or more actuator systems of the host vehicle to implement the planned navigational action.

Navigation relative to pedestrians at crosswalks

Systems and methods are provided for navigating a host vehicle. A processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle travelling toward the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a stopping distance for the host vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the host vehicle; determine a stopping distance for the target vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.

Navigation with a safe longitudinal distance

System and methods for processing audio signals are disclosed. In one implementation, a system may include a microphone configured to capture sounds from an environment of a user; and at least one processor. The processor may be programmed to receive at least one audio signal representative of the sounds captured by the microphone; transcribe at least a portion of the at least one audio signal into text; generate metadata based on the transcribed text; after receiving the at least one audio signal, receive a request for information associated with a topic; select an information source from a plurality of information sources based on the received request for information; search the selected information source for a word or phrase based on the request; and output the word or phrase for entry into a record associated with the topic.

Wearable systems and methods for processing audio and video based on information from multiple individuals

A hearing aid system for selectively conditioning audio signals associated with a recognized object may include at least one processor. The processor may be programmed to receive audio signals acquired by a wearable microphone; analyze the received audio signals to obtain an isolated audio stream associated with a sound-emanating object in the environment of the user; determine an audioprint from the isolated audio stream; and use the audioprint to retrieve from a database information relating to the particular sound-emanating object. Based on the retrieved information, the processor may cause selective conditioning of at least one audio signal received by the wearable microphone from a region associated with the at least one sound-emanating object; and cause transmission of the at least one conditioned audio signal to a hearing interface device configured to provide sounds to an ear of the user.

Selectively conditioning audio signals based on an audioprint of an object

Systems and methods are provided for navigating a host vehicle. A processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle travelling toward the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a stopping distance for the host vehicle based on a braking profile, a maximum acceleration capability, and a current speed of the host vehicle; determine a stopping distance for the target vehicle based on a braking profile and a current speed of the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.

A system may include a wearable camera configured to capture images and a microphone configured to capture sounds. The system may also include a processor programmed to receive audio signals from the microphone and detect, based on analysis of the audio signals, a first audio signal associated with a first time period. The first audio signal may be representative of a voice of a single individual. The processor may also be programmed to detect, based on analysis of the audio signals, a second audio signal associated with a second time period. The second time period may be different from the first time period, and the second audio signal may be representative of overlapping voices of two or more individuals. The processor may further be programmed to selectively condition the first and second audio signals, and cause transmission of the conditioned first audio signal to a hearing interface device.

Conditioning audio signals including overlapping voices

Systems and methods for amplifying and/or attenuating audio signals are disclosed. In one implementation, a system for selectively amplifying audio signals may include at least one microphone for capturing sounds from an environment of the user and a processor. The processor may be programmed to receive an audio signal representative of sounds captured by the at least one microphone; determine whether the audio signal comprises speech by a user of the system; subject to the audio signal comprising speech by the user, modify the audio signal by attenuating a first part of the audio signal comprising the speech by the user; subject to the audio signal comprising audio other than speech by the user, modify the audio signal by amplifying a second part of the audio signal comprising audio other than the speech by the user; and transmit the modified audio signal to a hearing interface device.

Systems and methods for selectively attenuating a voice

Systems and methods are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle in the environment of the host vehicle; determine a next-state lateral distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a lateral braking distance for the host vehicle and the target vehicle based on a maximum yaw rate capability, a maximum change in turn radius capability, and a current lateral speed of the host vehicle and the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the lateral braking distances for the host vehicle and the target vehicle.

Navigation with a safe lateral distance

Growing community of inventors

Mevaseret Zion, Israel

Amnon Shashua